Improvements in the forecasts of near-surface variables in the Global Forecast System (GFS) via assimilating ASCAT soil moisture retrievals

Yin, Jifu; Hain, Christopher R.; Zhan, Xiwu; Dong, Jiarui; Ek, Michael

doi:10.1016/j.jhydrol.2019.124018

i

Improvements in the forecasts of near-surface variables in the Global Forecast System (GFS) via assimilating ASCAT soil moisture retrievals

2019
By Yin, Jifu ; Hain, Christopher R. ; Zhan, Xiwu ; ...

Details

Journal Title:

Journal of Hydrology
Personal Author:

Yin, Jifu ; Hain, Christopher R. ; Zhan, Xiwu ; Dong, Jiarui ; Ek, Michael
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office) ; NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CICSM (Cooperative Institute for Climate and Satellites Maryland) ; NWS (National Weather Service) ; NCEP (National Centers for Environmental Prediction) ; EMC (Environmental Modelling Center)
Description:

Recent research has shown that assimilating satellite soil moisture (SM) retrievals into the land surface models (LSMs) improves simulations of land-atmosphere water and energy exchanges. With satellite SM retrievals becoming widely and continuously available, it is desirable to examine the impact of assimilating them into numerical weather prediction models in order to improve numerical weather forecast skills. Based on the development of the coupled system of National Centers for Environmental Prediction (NCEP)-Global Forecast System (GFS) and National Aeronautics and Space Administration (NASA)-Land Information System (LIS) in this paper, we designed an experiment to demonstrate the impacts of assimilating the Advanced Scatterometer (ASCAT) SM data products on the weather forecasts of GFS.
Keywords:

ASCAT Data Assimilation Global Forecast System Modeling, Analysis, Predictions, And Projections (MAPP) Program Numerical Weather Prediction Soil Moisture
Source:

Journal of Hydrology, 578, 124018
DOI:

https://doi.org/10.1016/j.jhydrol.2019.124018
Document Type:

Journal Article
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Other
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Submitted
Main Document Checksum:

urn:sha256:423b591951473508d9acb84a14264d561d4502df5333346d82f36f7bdc319fad
Download URL:

https://repository.library.noaa.gov/view/noaa/36819/noaa_36819_DS1.pdf
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[PDF - 4.92 MB ]

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